Evidence map›Paper›PMID 41308126›Full record

SynthesisBriefings in bioinformatics2025

Large-scale multi-trait genome-wide analysis for inflammatory bowel disease reveals new insights into its molecular mechanisms and emphasizes the roles of systemic immune regulation.

Zijun Zhu, Lei Shi, Hailong Li, Xin Wang, Jiwei Gao, Liang Cheng, Xue Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Briefings in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zijun ZhuCollege of Bioinformatics Science and Technology, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150081, China.
Lei ShiNational Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150028, China.
Hailong LiCollege of Bioinformatics Science and Technology, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150081, China.
Xin WangCollege of Bioinformatics Science and Technology, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150081, China.
Jiwei GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150081, China.
Liang ChengCollege of Bioinformatics Science and Technology, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150081, China.ORCID 0000-0002-6665-6710
Xue ZhangNational Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang 150028, China.

Funding

Heilongjiang Postdoctoral Fund LBH-Q20030National Natural Science Foundation of China 62172130National Natural Science Foundation of China 62222104National Natural Science Foundation of China 62531007
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a hereditary and chronic inflammatory condition affecting the gastrointestinal tract, with two main subphenotypes: Crohn's disease (CD) and ulcerative colitis (UC). Most IBD-related genetic associations are limited to independent subphenotypes and ancestral populations, and the heritability remains largely unexplained, prompting us to conduct the large-scale multi-trait genome-wide association study (GWAS) meta-analysis that incorporates both subphenotypes and diverse ancestral populations to reveal novel susceptibility loci through the substantially enhanced genetic discovery power. We initially identified IBD statistical association signals at 84 (12 novels) independent index loci by two-stage multi-trait analysis of GWAS and increased the number to 165 (29 novels) in cross-ancestry meta-analysis. Subtype-specific analysis revealed distinct genetic architectures for CD and UC. Leveraging multi-omics datasets, we performed a comprehensive functional post-GWAS annotation. Several therapeutic targets were identified by a multi-stage prioritization strategy, including JAK2, STAT3, IL18R1, IFNG, and CCL2, highlighting systemic immune regulation in IBD treatment. In the inflammatory injury model, we determined that increased GNA12 expression may disrupt the intestinal barrier. Cross-trait analyses and multi-omics Mendelian randomization showed potential causalities with immune-mediated diseases, cytokines, cell traits, and microorganisms. This study yields novel insights into the molecular etiology of IBD and reveals potential immunotherapy targets and pathways for medication.

Indexed as

Genome-Wide Association StudyInflammatory Bowel DiseasesQuantitative Trait LociAnimalsColitis, UlcerativeCrohn DiseaseGenetic Predisposition to DiseaseHumansgenome-wide association study meta-analysisinflammatory bowel diseasemulti-omicsmulti-trait analysissystemic immune regulation

Identifiers

PMID41308126
PMCPMC12659791

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.